Refer to Exercise 5.66. If F1(y1) and F2(y2) are two distribution functions then for any , 1 1, F(y1, y2) = F1(y1)F2(y2)[1 {1 F1(y1)}{1 F2(y2)}] is a joint distribution function such that Y1 and Y2 have marginal distribution functions F1(y1) and F2(y2), respectively. a If F1(y1) and F2(y2) are both distribution functions associated with exponentially distributed random variables with mean 1, show that the joint density function of Y1 and Y2 is the one given in Exercise 5.162. b If F1(y1) and F2(y2) are both distribution functions associated with uniform (0, 1) random variables, for any , 1 1, evaluate F(y1, y2). c Find the joint density functions associated with the distribution functions that you found in part (b). d Give two specific and different joint densities such that the marginal distributions of Y1 and Y2 are both uniform on the interval (0, 1).

COB 204 8/28 – 9/2 Future Business Professionals o Assess the Situation o Evaluate your options o Apply emerging tech information to your business Pick the best option for you Moore’s Law o Every 18 months, computing power will double o Price will go down proportionally Job Security o Any routine skill will...